In today’s fast-paced development environment, quality testing requires two critical elements: comprehensive monitoring and intelligent test data management. Today, we’re excited to announce that Apica has acquired Orson, combining industry-leading synthetic monitoring with advanced test data orchestration capabilities.
This combination will enable organizations to build more powerful synthetic monitoring scenarios through accelerated data variety generation, ensuring their monitoring tests better reflect real-world conditions and edge cases.
Why This Matters for Modern Development
The challenge of test data management has become increasingly complex. Development teams must ensure comprehensive test coverage while complying with data privacy regulations like GDPR and CCPA. Traditional approaches often rely on production data, thereby creating data security risks, privacy risks, and compliance challenges. Meanwhile, the pressure to accelerate development cycles continues to grow.
This acquisition directly addresses these challenges by combining Apica’s intelligent data management platform, synthetic monitoring, and observability with Orson’s intelligent test data orchestration capabilities.
Transforming Test Data Management
At its core, the Apica-Orson solution enables teams to generate self-service comprehensive test data sets derived from production patterns. Teams can create high-quality, high-cardinality test data that maintains the complexity and relationships of production data while ensuring compliance and privacy.
Instead of working with limited or unrealistic test data, teams can generate precise combinations of test scenarios that achieve maximum coverage – all through a self-service platform that eliminates the traditional bottlenecks of test data management. This means more thorough synthetic monitoring, reliable load tests, and higher confidence in your testing results.
The integration of Orson’s technology into the Apica platform brings several additional groundbreaking capabilities:
- Automated Coverage Calculation
- Turn business rules into reusable “coverage intelligence”
- Accurately determine testing requirements
- Automate test generation
- Eliminate compromises in risk-based testing and SME bottlenecks
- Enhanced Synthetic Monitoring
- Generate diverse, production-like test data to create more comprehensive synthetic monitoring scenarios
- Improve the reliability of synthetic tests by covering a more comprehensive range of data conditions and edge cases
- Accelerate the creation of realistic test data for load testing and performance monitoring
- Intelligent Data Generation
- Profile source data to identify patterns
- Create on-demand synthetic test data based on these patterns
- Support new builds
- Enhance virtual services
- Maintain data relationships
- Ensure GDPR compliance through synthetic data
Seamless Integration with Modern CI/CD
The combined Apica-Orson solution fits naturally into modern GitOps and CI/CD workflows. Teams can version-control their test data specifications alongside application code in Git repositories, treating test data as code.
Through REST APIs and native integrations, teams can automatically generate fresh test data sets as part of their CI/CD pipelines, ensuring synthetic monitoring and load tests always run against relevant, compliant data.
This GitOps-friendly approach means test data configurations can be reviewed, approved, and deployed using the same processes teams already use for infrastructure and application changes. Whether you’re running tests in development, staging, or production environments, the platform automatically provides appropriate test data while maintaining referential integrity and compliance – all orchestrated through your existing CI/CD toolchain.
You can use masked, production-sourced data to bring only the necessary data into your environment, reducing your non-production data footprint by 10x. This minimizes the potential for data breaches, reduces time and effort for masking sensitive data, and lowers storage costs, risks, and overheads.
Benefits for Development Teams
- More Robust Synthetic Monitoring: Create more reliable and comprehensive synthetic monitoring scenarios with automated generation of diverse, production-like test data. This enables teams to catch edge cases and potential issues before they impact production environments.
- Accelerated Development Velocity: Streamline test data generation, enable quicker setup and execution, and reduce manual testing efforts through automated processes.
- Comprehensive Test Coverage: With data tailored to specific testing environments, you can achieve precise test coverage calculations, ensuring thorough quality assurance across all scenarios.
- Improved Compliance & Data Privacy: Ensure GDPR compliance with synthetic data while minimizing security risks and enhancing data privacy.
- Reduced SDLC Bottlenecks: Eliminate obstacles in continuous delivery by capturing SME knowledge in reusable criteria and enabling automated test data generation through your CI/CD pipeline.
Looking Ahead
Combining Apica’s synthetic monitoring expertise with Orson’s intelligent test data capabilities enables organizations to create more comprehensive and reliable monitoring scenarios that better reflect real-world conditions.
This acquisition represents more than just a combination of technologies – it’s a step forward in our mission to transform how enterprises approach testing and monitoring. We’re excited to work with our customers to implement these enhanced capabilities and continue innovating in the test data management space.
Apica and Orson’s existing customers will continue to receive uninterrupted support while gaining access to these expanded capabilities. We’re committed to ensuring a smooth transition and platform integration process.
Get Started
Ready to learn more about how Apica’s enhanced test data orchestration capabilities can transform your testing processes? Contact our team today to schedule a demonstration and discover how we can help accelerate your development cycles while improving quality and compliance.
